Anaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.
$0
per month
BBEdit
Score 8.4 out of 10
N/A
BBEdit is a text editor from Bare Bones software headquartered in Massachusetts.
I have asked all my juniors to work with Anaconda and Pycharm only, as this is the best combination for now. Coming to use cases: 1. When you have multiple applications using multiple Python variants, it is a really good tool instead of Venv (I never like it). 2. If you have to work on multiple tools and you are someone who needs to work on data analytics, development, and machine learning, this is good. 3. If you have to work with both R and Python, then also this is a good tool, and it provides support for both.
I'm primarily a graphic designer who does occasional web development. For me, BBEdit works very well. I use it both for developer projects (editing code, editing system files) and for general text processing (cleaning up, formatting, or extracting text). I like that it offers real-time previews of edits to web project files. It comes with some nice editor themes and supports adding more or customizing them. I expect that for some coders, it will be inadequate. It is not an IDE. On the other end of the spectrum, someone who expects an experience more like Microsoft Word will be very disappointed; or if they wanted something more along the lines of Windows Notepad, they may find it to be overkill. It is an ASCII text editor with many advanced commands and tools built-in.
Anaconda is a one-stop destination for important data science and programming tools such as Jupyter, Spider, R etc.
Anaconda command prompt gave flexibility to use and install multiple libraries in Python easily.
Jupyter Notebook, a famous Anaconda product is still one of the best and easy to use product for students like me out there who want to practice coding without spending too much money.
BBEdit remembers what I had open, so I never have to worry about losing work when I accidentally close the software. It will hold onto information almost indefinitely, so that the next time I open a program, I can access the information that I may have forgotten to save. Thankfully, its save function is also very simple to use, so I recommend still saving your work as needed.
Scripts are the most important aspect of BBEdit for the company I work for. Being able to import scripts and create new ones all in the same location are great.
I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.
The cost of this product has just become too much for the functionality that most people need. You can find free or $10 tools that do what most people need to do.
The BBEdit program has lots of functionality, but could it be too much? Are there too many options?
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
I am giving this rating because I have been using this tool since 2017, and I was in college at that time. Initially, I hesitated to use it as I was not very aware of the workings of Python and how difficult it is to manage its dependency from project to project. Anaconda really helped me with that. The first machine-learning model that I deployed on the Live server was with Anaconda only. It was so managed that I only installed libraries from the requirement.txt file, and it started working. There was no need to manually install cuda or tensor flow as it was a very difficult job at that time. Graphical data modeling also provides tools for it, and they can be easily saved to the system and used anywhere.
Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.
I've been using BBEdit — no joke — for nearly three decades now. Believe it or not, I'm still getting "upgrade pricing" 13 versions later. Bare Bones' support has always been stellar, and pricing continues to be affordable compared to similar tools.
I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!
It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.
It saves me time, not only with web projects, but even with design, when I want to strip out formatting in text, I bring it in to BBEdit to clean it up.